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Paradoxes and irrationality in economics

The Paradox of Thrift:   When individuals try to save more during an economic downturn, it actually reduces overall demand, slowing economic recovery and potentially worsening the downturn. While saving is rational for individuals, it’s irrational at the collective level during a recession. The Allais Paradox:   This demonstrates that people’s choices violate expected utility theory. Even when outcomes have clear probabilities and values, people often choose options that don’t maximize their expected utility, highlighting irrational behavior in decision-making. The Endowment Effect:   People tend to overvalue things they own, even if they acquired them very recently. For example, a person who just received a coffee mug might demand a higher price to sell it than they would be willing to pay to buy an identical mug, showing irrational attachment to possessions. Giffen Goods Paradox:   For certain inferior goods, demand increases as the price rises, which is counterintuitive. This parado
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AI is No Longer Just a Technical Challenge: It’s a Societal Imperative

  In today’s rapidly evolving landscape, artificial intelligence has extended its reach well beyond the technical realm. AI is reshaping our workplaces, influencing societal norms, and impacting lives in ways we’re only beginning to understand. Yet, despite its profound implications, conversations around AI deployment remain overwhelmingly technical, focused on the mechanics of implementation, efficiency, and scaling. Both organizations and political leaders are lagging in addressing the broader societal impacts that AI brings with it. It’s essential to recognize that AI is no longer just an engineering or data challenge—it’s a societal force requiring careful, ethical consideration at all levels. And crucially, these decisions should not be left in the hands of big tech companies, nor should they be addressed solely by regulatory frameworks, which often fail to capture the depth and breadth of AI’s societal implications. AI’s Far-Reaching Influence Beyond Technology AI today does much
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Silicon Valley’s Blind Spots: Innovation Without Insight

Silicon Valley has always sold itself as the beating heart of progress—a place where innovation meets ambition, where visionary tech elites work tirelessly to build a brighter, more efficient future. But beneath the polished façade of sleek offices and casual-dress meetings, there’s a darker side to this culture—a relentless drive for innovation and profit that collides uncomfortably with a startling lack of historical awareness, philosophical depth, and ethical consideration. 1.   Innovation at the Expense of Insight Silicon Valley is obsessed with disruption. The idea is that if you can find a faster, cheaper, or more efficient way to do something, you’re making the world better. But this obsession with breaking things to build new ones often overlooks why those things existed in the first place. Apps are designed to optimize every second of your life, from sleep patterns to diet, without asking the deeper question of   what it means to live well . Social platforms encourage constant
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Mathematical curiosities

1.   Kaprekar's Constant (6174) Take any four-digit number with at least two different digits, arrange the digits in descending and ascending order to get two four-digit numbers, and subtract the smaller number from the larger. Repeat this process, and you’ll always reach the number   6174   within a few steps, known as   Kaprekar's constant . For example: [ 4321 - 1234 = 3087 \ 8730 - 0378 = 8352 \ 8532 - 2358 = 6174 ] 2.   Ramanujan's Taxi Cab Number (1729) 1729   is known as the "taxicab number" because it is the smallest number that can be expressed as the sum of two cubes in two distinct ways: [ 1729 = 1^3 + 12^3 = 9^3 + 10^3 ] This fascinating property was discovered by the Indian mathematician   Srinivasa Ramanujan . 3.   The Magic of 1089 Take any three-digit number where the first and last digits differ by at least two. Reverse the digits and subtract the smaller number from the larger. Then, reverse the result and add. You will always get   1089 . For ex
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The Storm

I’ve always found it difficult to fit myself into a single category. When people ask what I do, the simplest answer is “I’m a physicist.” But truthfully, I don’t see myself as just that—at least, not in the way people imagine physicists. I suppose if I were to give an honest answer, I’d say I’m an artist who happens to use the language of physics to express the patterns I see in the world. My mind floats between abstract and playful realms, balancing the sharp precision of science with the fluid creativity of art and writing. I find beauty in symmetry, joy in equations, and a kind of poetic grace in the dance of particles. If the universe is a grand canvas, then physics is the medium through which I paint, but the lines between scientist, artist, and writer are blurred. From an early age, I was drawn to two seemingly disparate worlds: science and storytelling. I remember poring over books about quantum mechanics with the same fervor I reserved for writing poems in my notebook or sketch
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Navigating Worlds: Physicist, Cook, Father, and AI Entrepreneur

I live in many worlds. Sometimes it feels like I’m standing at the center of a constellation, with different stars representing different aspects of my life, each shining with its own unique light. On one side, I’m a physicist, immersed in equations, unraveling the mysteries of the universe. On another, I’m a cook, lost in the warmth of a kitchen, where science gives way to intuition and taste. Then there’s the world where I’m a father, guiding a small hand through the intricacies of life, experiencing the joy of rediscovering the world through a child’s eyes. And finally, I’m an entrepreneur, building AI systems that push the boundaries of what technology can do. Balancing these different aspects of myself isn’t always easy, but I wouldn’t have it any other way. Each world informs the other, blending together in ways that continually surprise and challenge me. Let’s start with cooking—perhaps the most unexpected world for a physicist. Most people don’t see the connection between scien
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Why AI should not mimic humans

 In the world of science fiction, where our imaginations have run wild for decades, the idea of building robots that look, think, and act exactly like humans has captivated audiences. From the eerie realism of "Westworld" to the ethical dilemmas of "Ex Machina," sci-fi has explored the many consequences of creating machines that are essentially indistinguishable from their human creators. While the allure of crafting lifelike robots is understandable, there are compelling reasons why this may not be such a good idea after all. One of the biggest dangers of making robots too human is the psychological discomfort it creates, a phenomenon known as the "uncanny valley." When robots become almost but not quite human, they can evoke a deep sense of unease in people. They look like us, but something is off—their expressions are too stiff, their gaze too empty, or their movements slightly too mechanical. This unsettling feeling is not just some minor quirk; it cou
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